Engineering Manager

Obin AI•New York, NY

9h•Hybrid

About The Position

We're looking for a strong Engineering Manager to lead our team of talented AI engineers, full-stack engineers, and data scientists. You’ll join our team as one of our earliest senior leadership hires. You will lead multiple, cross-functional AI engineering pods, each dedicated to a specific customer project. In this critical role, you'll be managing high-quality delivery, technical excellence, and the growth and well-being of your engineers. You will be the force multiplier ensuring our project teams are productive, happy, and operating at peak efficiency while championing best practices in reusability and reliability across all customer solutions. This is a hybrid, high-ownership role based in New York, with regular in-office collaboration.

Requirements

10+ years of experience in software development, with a strong background in a specific engineering discipline (e.g., backend, frontend, full-stack)
Experience working in a customer-facing or consultancy environment where projects have hard deadlines and specific client requirements
5+ years of experience managing and leading engineering teams, preferably managing multiple simultaneous projects or teams (pods).
Proven track record of driving engineering best practices, code quality, and implementing initiatives focused on system reliability and component reusability.
Demonstrated ability to balance the demands of multiple projects and effectively manage priorities and expectations with both technical teams and non-technical stakeholders.
Excellent communication, interpersonal, and conflict resolution skills.
Experience with agile methodologies (Scrum, Kanban, etc.).

Responsibilities

Drive Engineering Best Practices: Champion and enforce engineering excellence, coding standards, and disciplined development processes (e.g., code reviews, testing, documentation) across all pods.
Focus on Reusability & Reliability: Strategically guide pods to build solutions with an eye toward reusable components, scalable architecture, and long-term reliability. Identify common engineering challenges and drive solutions that benefit all customer projects.
Architecture & Design Oversight: Provide technical guidance and participate in high-level architectural and design discussions to ensure solutions are robust, maintainable, and align with company standards.
Ensure Timely & High-Quality Delivery: Monitor project health, manage risks, and proactively remove technical and process roadblocks to ensure the timely and successful delivery of customer projects.
Resource Allocation: Strategically allocate engineers to pods based on project needs, skill sets, and career development goals, optimizing overall team utilization.
Process Improvement: Continuously evaluate and improve the pods' development lifecycle, from requirements gathering to deployment, to increase efficiency and quality of output.
Cultivate a High-Performing Culture: Foster an inclusive, collaborative, and psychologically safe environment where engineers are productive, motivated, and happy.
Mentorship & Coaching: Provide ongoing coaching, mentorship, and career development support to engineers, helping them set and achieve ambitious goals and grow their technical and soft skills.
Performance Management: Conduct regular 1:1s, performance reviews, and provide constructive feedback to support the growth and accountability of team members.
Hiring & Onboarding: Actively participate in the recruitment and successful onboarding of new engineering talent to scale the team effectively.